Table 1.
Algorithm applied to walking segments of any length.
| Patient | H&Ya | # Segments OFF | # Segments ON | Minutes OFF | Minutes ON | Specificity % (SD) | Sensitivity % (SD) | PPV %b(SD) | NPV %c(SD) |
| 1 | 3 | 86 | 15 | 22 | 122 | 97 (4) | 100 (0) | 99 (1) | 100 (0) |
| 2 | 4 | 23 | 118 | 107 | 161 | 92 (12) | 100 (0) | 81 (27) | 100 (0) |
| 3 | 3 | 5 | 25 | 7 | 213 | - | - | - | - |
| 4 | 3 | 21 | 37 | 26 | 125 | 83 (13) | 89 (23) | 80 (15) | 95 (9) |
| 5 | 2.5 | 18 | 97 | 18 | 276 | 99 (1) | 100 (0) | 95 (3) | 100 (0) |
| 6 | 3 | 14 | 120 | 7 | 159 | 94 (4) | 100 (0) | 70 (2) | 100 (0) |
| 7 | 2.5 | 25 | 42 | 5 | 159 | 96 (3) | 100 (0) | 94 (5) | 100 (0) |
| 8 | 2 | 15 | 121 | 3 | 138 | 90 (4) | 100 (0) | 59 (17) | 100 (0) |
| 9 | 2 | 5 | 205 | 3 | 327 | - | - | - | - |
| 10 | 4 | 38 | 44 | 11 | 13 | 80 (27) | 56 (23) | 76 (31) | 70 (14) |
| 11 | 1.5 | 0 | 50 | 0 | 191 | - | - | - | - |
| 12 | 2.5 | 17 | 162 | 22 | 260 | 81 (16) | 85 (20) | 48 (30) | 99 (2) |
| 13 | 3 | 40 | 13 | 41 | 179 | 100 (0) | 90 (5) | 100 (0) | 77 (11) |
| 14 | 2.5 | 0 | 60 | 2 | 73 | - | - | - | - |
| 15 | 3 | 59 | 87 | 37 | 107 | 77 (11) | 80 (32) | 71 (10) | 89 (15) |
aH&Y=Hoehn and Yahr scale
bPPV = positive predictive value
cNPV = negative predictive value